metadata
library_name: transformers
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: foxy-nlp-n1
results: []
foxy-nlp-n1
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2020
- Accuracy: 0.9545
- F1: 0.9542
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.2
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 77 | 0.4185 | 0.9481 | 0.9476 |
| No log | 2.0 | 154 | 0.2908 | 0.9545 | 0.9542 |
| No log | 3.0 | 231 | 0.2464 | 0.9545 | 0.9547 |
| No log | 4.0 | 308 | 0.2074 | 0.9545 | 0.9542 |
| No log | 5.0 | 385 | 0.2048 | 0.9610 | 0.9613 |
| No log | 6.0 | 462 | 0.2064 | 0.9545 | 0.9547 |
| 0.1640 | 7.0 | 539 | 0.2011 | 0.9610 | 0.9613 |
| 0.1640 | 8.0 | 616 | 0.2020 | 0.9545 | 0.9542 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2